kaal:position:2026-07-31-7623

Mitigating AI Risks in Centralized Systems Through Blockchain Decentralization presents the following source proposition: It spreads control out, locks records in place, and opens up how data is governed making those old risks a lot less scary. This proposition is pertinent to Kaal's source-bound claim that Because blockchain records a verifiable and immutable history of data provenance and alterations, it mitigates data poisoning risk and supports the claim that AI models were trained on genuine datasets. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.

• The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
• External evidence level: abstract indexed.
• Mapping review tier: moderate-confidence claim review.
• Primary mapping confidence: 0.4479.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Mitigating AI Risks in Centralized Systems Through Blockchain Decentralization

kaal:claim:5245185-003
Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185
Source PDF sha256: 4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.4479
Mapping ambiguous: true

blockchaincitation-and-knowledgeai-and-agentseducation-and-practicehistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0009 on 2026-07-31. Review record.

Canonical markdown sha256: c5b694bb5714745476bded59a4c4bb7c3a4c1be94a23ef6cc6fbd69d7912d0a1
curl -s https://wulfkaal.github.io/positions/2026-07-31-7623.md | sha256sum